Update app.py

app.py

@@ -153,7 +153,7 @@ def fragment_single_abstract(abstract):
 title = "Paper Abstract Fragmentation With TensorFlow by Ryan Tietjen"
 description = f"""
 This app will take the abstract of a paper and break it down into five categories: objective, background, methods, results, and conclusion. 
-The dataset used can be found in the [PubMed 200k RCT]("https://arxiv.org/abs/1710.06071") and in [this repo](https://github.com/Franck-Dernoncourt/pubmed-rct). The model architecture
+The dataset used can be found in the [PubMed 200k RCT]("https://arxiv.org/pdf/1710.06071") and in [this repo](https://github.com/Franck-Dernoncourt/pubmed-rct). The model architecture
 was based off of ["Neural Networks for Joint Sentence Classification in Medical Paper Abstracts."](https://arxiv.org/pdf/1612.05251)
 
 This model achieved a testing accuracy of 88.12% and a F1 score of 87.92%. For the whole project, please visit [my GitHub](https://github.com/RyanTietjen/Paper-Fragmentation).